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International Conference on Extreme Learning Machines 2014

This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote resea...

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Detalles Bibliográficos
Autores principales: Cao, Jiuwen, Mao, Kezhi, Cambria, Erik, Man, Zhihong, Toh, Kar-Ann
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-14063-6
https://dx.doi.org/10.1007/978-3-319-14066-7
http://cds.cern.ch/record/1980562
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author Cao, Jiuwen
Mao, Kezhi
Cambria, Erik
Man, Zhihong
Toh, Kar-Ann
author_facet Cao, Jiuwen
Mao, Kezhi
Cambria, Erik
Man, Zhihong
Toh, Kar-Ann
author_sort Cao, Jiuwen
collection CERN
description This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”.  The book covers theories, algorithms and applications of ELM. It gives the readers a glance of the most recent advances of ELM.  
id cern-1980562
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Springer
record_format invenio
spelling cern-19805622021-04-22T06:59:16Zdoi:10.1007/978-3-319-14063-6doi:10.1007/978-3-319-14066-7http://cds.cern.ch/record/1980562engCao, JiuwenMao, KezhiCambria, ErikMan, ZhihongToh, Kar-AnnInternational Conference on Extreme Learning Machines 2014International Conference on Extreme Learning Machines 2014EngineeringThis book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”.  The book covers theories, algorithms and applications of ELM. It gives the readers a glance of the most recent advances of ELM.  Springeroai:cds.cern.ch:19805622015
spellingShingle Engineering
Cao, Jiuwen
Mao, Kezhi
Cambria, Erik
Man, Zhihong
Toh, Kar-Ann
International Conference on Extreme Learning Machines 2014
title International Conference on Extreme Learning Machines 2014
title_full International Conference on Extreme Learning Machines 2014
title_fullStr International Conference on Extreme Learning Machines 2014
title_full_unstemmed International Conference on Extreme Learning Machines 2014
title_short International Conference on Extreme Learning Machines 2014
title_sort international conference on extreme learning machines 2014
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-14063-6
https://dx.doi.org/10.1007/978-3-319-14066-7
http://cds.cern.ch/record/1980562
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AT maokezhi internationalconferenceonextremelearningmachines2014
AT cambriaerik internationalconferenceonextremelearningmachines2014
AT manzhihong internationalconferenceonextremelearningmachines2014
AT tohkarann internationalconferenceonextremelearningmachines2014